{"id":"W4309025681","doi":"10.2196/42887","title":"Reasons That Lead People to End Up Buying Fake Medicines on the Internet: Qualitative Interview Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Jordan","keywords":"Thematic analysis; The Internet; Payment; Medical prescription; Business; Qualitative research; Medicine; Internet privacy; Marketing; Advertising; Nursing; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01128274,0.0006786485,0.0007935998,0.001986732,0.006894325,0.003240604,0.0015584,0.002275591,0.003276736],"category_scores_gemma":[0.01755504,0.0009604214,0.0006025261,0.001825662,0.005700456,0.004239151,0.005082149,0.003214702,0.0005211515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005182994,"about_ca_system_score_gemma":0.004087443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008891847,"about_ca_topic_score_gemma":0.009481691,"domain_scores_codex":[0.9924811,0.004938068,0.0003160204,0.0003920783,0.000449847,0.001422947],"domain_scores_gemma":[0.9813496,0.01356998,0.001275164,0.0003180264,0.001709484,0.001777659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000225979,0.00003316188,0.002159673,0.0001422039,0.000003130087,0.0005209626,0.9942747,0.00002327755,0.0003996521,0.0004394205,0.0003051686,0.001676012],"study_design_scores_gemma":[0.000002615382,0.00002979737,0.0007316364,0.0001164295,0.000002298237,0.0001237557,0.9962476,0.00006978194,0.00009972207,0.000103654,0.002465495,0.000007342068],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913718,0.0006070712,0.002121203,0.002014389,0.0000555968,0.0003049827,0.0001875143,0.00001926936,0.003318352],"genre_scores_gemma":[0.9935476,0.001209802,0.001307621,0.00115792,0.00002850968,0.0006330903,0.0001128643,0.00002130228,0.001981295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01128274,"threshold_uncertainty_score":0.05966955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4452997717355788,"score_gpt":0.5767000621241948,"score_spread":0.1314002903886159,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}